PolizzeDonut-SoloPDF-3Epochs-200imgs
Browse files- README.md +6 -6
- config.json +1 -1
- model.safetensors +1 -1
- tokenizer.json +2 -16
- training_args.bin +1 -1
README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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# PolizzeDonut-XLSNuoveAnnot-3Epochs-200imgs
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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---
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license: mit
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base_model: naver-clova-ix/donut-base
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tags:
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- generated_from_trainer
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datasets:
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# PolizzeDonut-XLSNuoveAnnot-3Epochs-200imgs
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This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6091
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.2656 | 1.0 | 100 | 0.9897 |
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| 0.9816 | 2.0 | 200 | 0.6823 |
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| 0.7555 | 3.0 | 300 | 0.6091 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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{
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"_name_or_path": "naver-clova-ix/donut-base",
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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model.safetensors
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tokenizer.json
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{
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"truncation":
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"direction": "Right",
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training_args.bin
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